An Automatic Off-Line Signature Verification and Forgery Detection System

In Chapter 4, Madasu and Lovell present an offline signature verification and forgery detection system based on fuzzy modelling. The various handwritten signature characteristics and features are first studied and encapsulated to devise a robust verification system. The verification of genuine signatures and detection of forgeries is achieved via angle features extracted using a grid method. The derived features are fuzzified by an exponential membership function, which is modified to include two structural parameters. The structural parameters are devised to take into account the possible variations due to handwriting styles and to reflect other factors affecting the scripting of a signature. The proposed system has been tested on a large database of signatures comprising over 1200 signature images obtained from 40 volunteers.

[1]  Yuan Yan Tang,et al.  Off-line signature verification by the tracking of feature and stroke positions , 2003, Pattern Recognit..

[2]  Azriel Rosenfeld,et al.  Computer Detection of Freehand Forgeries , 1977, IEEE Transactions on Computers.

[3]  Réjean Plamondon,et al.  Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..

[4]  Yingyong Qi,et al.  Signature verification using global and grid features , 1994, Pattern Recognit..

[5]  Sukhan Lee,et al.  Offline tracing and representation of signatures , 1992, IEEE Trans. Syst. Man Cybern..

[6]  Teruo Fukumura,et al.  Structural description and classification of signature images , 1990, Pattern Recognit..

[7]  Ching Y. Suen,et al.  Automatic recognition of handwritten data on cheques - Fact or fiction? , 1999, Pattern Recognit. Lett..

[8]  M. A. Ismail,et al.  Off-line arabic signature recognition and verification , 2000, Pattern Recognit..

[9]  Robert Sabourin,et al.  A neural network approach to off-line signature verification using directional PDF , 1996, Pattern Recognit..

[10]  Ruowei Zhou,et al.  Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system , 2002, Pattern Recognit. Lett..

[11]  Santanu Chaudhury,et al.  Signature verification using multiple neural classifiers , 1997, Pattern Recognit..

[12]  Marinette Revenu,et al.  A Static Signature Verification System Based on A Cooperating Neural Networks Architecture , 1994, Int. J. Pattern Recognit. Artif. Intell..

[13]  Frank Y. Shih,et al.  A new safe-point thinning algorithm based on the mid-crack code tracing , 1995, IEEE Trans. Syst. Man Cybern..

[14]  F. Prêteux,et al.  Off-line signature verification by local granulometric size distributions , 1997 .

[15]  Wilson R. Harrison,et al.  Suspect Documents: Their Scientific Examination , 1958 .

[16]  Pushpak Bhattacharyya,et al.  Application of a Steerable Wavelet Transform using Neural Network for Signature Verification , 1999, Pattern Analysis & Applications.

[17]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  E. Locard.  Traité de criminalistique , 1931 .

[19]  Ordway Hilton.  Signatures—Review and a New View , 1992 .

[20]  Gerhard Rigoll,et al.  A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[21]  A. El-Yacoubi,et al.  Off-line signature verification using HMMs and cross-validation , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

[22]  Hong-Yuan Mark Liao,et al.  Wavelet-Based Off-Line Handwritten Signature Verification , 1999, Comput. Vis. Image Underst..

[23]  Graham Leedham,et al.  Signature verification using a modified Bayesian network , 2002, Pattern Recognit..

[24]  Haris Baltzakis,et al.  A new signature verification technique based on a two-stage neural network classifier , 2001 .

[25]  Joseph W. Goodman,et al.  Neural networks and handwritten signature verification , 1991 .

[26]  Wen C. Lin,et al.  Experimental Investigation of Automatic Signature Verification , 1974, IEEE Trans. Syst. Man Cybern..